You pay for every click. We build the pages your traffic lands on, A/B test each one against your current page, and send you a one-page readout with the number.
30 minutes. No slides, no pitch. You leave with your first three tests.
$1M+ in extra revenue generated by our team across 50+ stores. 10M+ users in A/B tests.
A team of three senior specialists in marketing, sales and development.
Programs and tools we work in
Not because testing does not work. Because of what got tested, and what never shipped. If you have not tried it yet, this is what to avoid.
The ad promises one thing, the product page says another.
Sixty-page audits and heatmaps, nothing shipped, nothing tested.
Small tests on a broken funnel give small, inconclusive results.
In numbers
Users in A/B tests we ran, per the testing tools.
Shopify stores worked on.
A/B tests launched.
Tests concluded as winners.
Seven A/B tests we ran in 2024 and 2025, stores anonymized. All lifts are conversion rate; four cleared 95% confidence.
Hypothesis: benefits near the top of the PDP show what makes the product different before the visitor scrolls.
Hypothesis: clear value, savings and tiers make the bundle easier to understand and buy.
Hypothesis: long descriptions overwhelm on mobile; dropdowns make them easier to digest and scroll.
Hypothesis: a low-cost discovery set lets shoppers unsure about the full size try more products.
Hypothesis: quick add with a variant modal cuts the steps from browsing to cart.
Hypothesis: categories and product images in the menu get more engagement and conversions.
Hypothesis: quick links at the top of the homepage get visitors to products faster.
Real screenshots from the tests, with store names and product details blurred. Confidence as reported by the testing tool. Six tests in health and wellness, one in apparel.
Pages, offers and funnels. Built, A/B tested, measured.
What's included:
One audit, then hypotheses, live tests and a readout for each. One 30-minute call a month, async the rest.
We walk your store the way a buyer does, from ad to checkout. Every leak written down with its number.
Each leak becomes a hypothesis: what changes, for whom, which metric moves. Ranked by revenue impact and effort.
Built in your theme, sized to your traffic, launched as a split test against the current version.
The readout (format below) makes the winner the new control, logs the loser as a learning, queues the next test.
Sized before it starts: a worked example, not client data
15,000 monthly sessions, 2.4% baseline, two variations, 4 weeks at 95% confidence and 80% power: smallest detectable lift about 30% (2.4% to roughly 3.1%). At 50,000 sessions, about 17%.
The format, fixed before test one.
Public reviews from clients of our team, quoted verbatim. First name or initial and country only.
Thorough about testing... so we can make sure we aren't leaving money on the table with the traffic we're already paying to send there.
★★★★★Noah, US
Played a pivotal role in helping us optimize our conversion rates.
★★★★★K., US
Quick response times, always happy to help with ad hoc development, and intuitive ideas on how to adapt strategies to improve conversion across all areas of the business.
★★★★★S., GB
They really know what they are doing in the CRO space.
★★★★★Wian, ES
Super helpful and supportive. The response times are insanely fast and no test is impossible.
★★★★★Sergio, IE
We do not sell tests. We sell a higher number, and the test is how both sides know it moved.
Audits, tests and readouts by the people you work with directly, all three with a background in marketing and ecommerce.
Tools: Convert, Intelligems, GA4, Heatmap.com, Shopify. contact@dtclab.io
Our monthly program starts at 50,000 monthly sessions to the tested page: at that traffic a split test detects finer changes (at around 15,000 sessions it only detects about a 30% lift in 4 weeks). Below that we say so on the call. Sizing is explained under Measurement.
One flat fee, USD 1,500 to 6,000 a month depending on the store and how many tests its traffic supports. Confirmed after the week-1 audit, never a percentage of revenue.
Written up like a win: what we expected, what happened, what we learned. A loser stops you from shipping something worse to all your traffic.
Shopify collaborator access, read access to GA4 and your ads account, an A/B testing tool or budget for one, and about 2 hours of your time a month.
In the testing tool, not on a before-and-after of your analytics, which seasonality, promos and ad spend confound. Moved means the rolled-out winners, measured control vs variant over the 3 months, add up to a higher conversion rate or revenue per visitor on the pages we tested. The math is in the month-3 readout.
Book the call. We go through your store and your ads with you, you leave with your first three tests, and you decide. If it is a fit, we agree on a start date; if not, the notes are yours.
Thirty minutes on your store and your ads. You leave with your first three tests and a clear answer on fit. Room for 2 more partner brands, as of October 2026.
Or write first: contact@dtclab.io